(PDF) Supplemental Information 3: Percentage Distribution

Supplemental Information 3: Percentage Distribution of Persons Categorised by Three Established Risk Models Into Different Risk Levels for Non-CVD and CVD Groups From the TT2015 Study on a Trinidad and Tobago Sample (N = 778).

doi 10.7717/peerj.8232/supp-3

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Figure 2: Relative Operating Characteristic (ROC) Plot for Three Established CVD Risk Prediction Models in the Trinidad and Tobago Population.

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Table 3: Mean Scores for Each Risk Model for Non-Cvd* and CVD Groups in the Sample.

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Table 1: Distribution of the Major Characteristics Measured Among the Non-Cvd* and CVD Participants for the Sample (N = 778).

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Figure 3: Stacked Histograms for the Risk Scores From the ASSIGN (A), Framingham (B), and QRISK®2 (C) Models for Non-CVD and CVD Participants in the TT2015 Sample.

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Supplemental Information 1: Differences Between 3 CVD Risk Prediction Models.

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Figure 1: Map of Trinidad and Tobago Showing the UTT Sample Sites for Non-CVD Participants and Hospitals for CVD Participants.

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Analysis of Parameters for CVD Risk Using Non-Invasive Methods

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Socio-Economic and Sex Differences in Health Care Utilization, Counseling on Cardiovascular Disease (CVD) Risk Factors and CVD Risk Factors Control in Polish Population. The WOBASZ II Study

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Supplemental Information 3: Percentage Distribution of Persons Categorised by Three Established Risk Models Into Different Risk Levels for Non-CVD and CVD Groups From the TT2015 Study on a Trinidad and Tobago Sample (N = 778).

doi 10.7717/peerj.8232/supp-3

Full Text

Abstract

Date

Authors

Publisher

Related search

Figure 2: Relative Operating Characteristic (ROC) Plot for Three Established CVD Risk Prediction Models in the Trinidad and Tobago Population.

Table 3: Mean Scores for Each Risk Model for Non-Cvd* and CVD Groups in the Sample.

Table 1: Distribution of the Major Characteristics Measured Among the Non-Cvd* and CVD Participants for the Sample (N = 778).

Figure 3: Stacked Histograms for the Risk Scores From the ASSIGN (A), Framingham (B), and QRISK®2 (C) Models for Non-CVD and CVD Participants in the TT2015 Sample.

Supplemental Information 1: Differences Between 3 CVD Risk Prediction Models.

Figure 1: Map of Trinidad and Tobago Showing the UTT Sample Sites for Non-CVD Participants and Hospitals for CVD Participants.

Analysis of Parameters for CVD Risk Using Non-Invasive Methods

Socio-Economic and Sex Differences in Health Care Utilization, Counseling on Cardiovascular Disease (CVD) Risk Factors and CVD Risk Factors Control in Polish Population. The WOBASZ II Study

Highlight Dementia Risk to Reduce CVD